Yunbi Xu

This study evaluates enviromic models for predicting upland rice productivity in Brazil by integrating environmental and genetic data, finding that comprehensive environmental covariates improve model stability and accuracy.

The paper de novo assembles the genome of Agropyron cristatum and identifies genes for wheat improvement, developing a genome-selection model for breeding derivatives.